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Field
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applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
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be developing advanced spatial models such as graph-based approaches and network analytics to predict how blue network dynamics, fragmentation and surrounding land use interact to shape ecosystem
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in this project. As successful candidate, you will investigate predisposition of trees to drought stress by long-term fertilization, both experimentally and with modelling. You will analyze long-term
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of different remote sensing and mapped data, statistical modelling, mapping of fire risk and analyzing the effect of forest management for fire behavior. Considered remote sensing data includes airborne and
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systems that are resource-use efficient, biodiversity-friendly and promote important ecosystem services? Would you like to address such goals via large-scale experiments or via simulation modelling? Then we
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biodiversity. However, current plankton monitoring is insufficient, limiting our ability to detect biodiversity shifts, model ocean responses to climate stressors, and inform effective conservation policies
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Understanding plankton biodiversity and ecosystem change by applying machine learning – A CASE studentship Lead Supervisor (DoS): Professor Abigail McQuatters-Gollop Second Supervisor: Dr Clare
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Tropical Silviculture and Forest Ecology Ecosystem Modelling Wildlife Management Biodiversity, Macroecology and Biogeography Landscape Resilience Course organisation The PhD programme in Forest Sciences and
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Language Models (LLMs) · Good knowledge of LCA methodology and standards · Good knowledge of the Brightway LCA calculation framework and ecosystem. · Proven organizational skills
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the restoration of peatland and coastal ecosystems? As one of the two 4-year PhD positions in the NWO funded project ‘Bioprime: applying biomimicry to produce restoration designs for multiple ecosystems’ at Utrecht